Snowflake Training: 100% Real-time, Practical

Complete Practical and Real-time Snowflake Training with Basic to Advanced Cloud Concepts, ETL (Extract, Transform and Load), DWH (DataWarehouse), Big Data Storage, Big Data Analytics, Incremental Loads, External Stages, SnowPipes, Failsafe Concepts, Data Recovery, Security Management, ETL Management, Administration, Azure Integrations, Power BI Integrations, External Data Connections and more..

This Snowflake Training Classes also includes Concept wise FAQs, Real-time Project, Project Solution, Project FAQs for your Job Interviews, Snowflake Core Certification Guidance with Real-Life Scenarios.

Snowflake Training Plans

  PLAN A PLAN B PLAN C
  Snowflake SQL Server Basics,
Snowflake
SQL Server Basics,
Power BI,
Snowflake
No of Videos 18 Videos 30 Videos 48 Videos
Snowflake: DWH and ETL
Snowflake: Cloud Configurations
Snowflake: DWH Architecture
Snowflake: Database, Schemas
Snowflake: Constraints, SP, Tasks
Snowflake: Partitions & Tuning
Snowflake: Security Management
Snowflake: Automated Backups
Snowflake: SnowSQL Concepts
Snowflake: Variables & Tasks
Snowflake: File Formats, Stages
Snowflake: External Stages
Snowflake: Azure Integration
Snowflake: Snow Pipes & Upserts
Snowflake: Power BI Analytics
TSQL: Database Basics, T-SQL
TSQL : Constraints, Joins, Queries
TSQL: Views, Group By, Self Joins
TSQL: SPs, Udf, Transaction Basics
Power BI: Report Design, Visuals
Power BI: M Lang, DAX for ETL
Power BI: Cloud, Apps, Tenant
Power BI: Azure, Report Server
Total Course Fee* INR 15000
USD 250
INR 20000
USD 300
INR 32000
USD 450

Trainer: Mr. Sai Phanindra T

Snowflake Training Highlights :

  • DWH & Snowflake Introduction
  • Snowflake Architecture
  • Snowflake Service Form
  • Snowflake Objects
  • Using SnowSQL CLI, Snowflake Data
  • Sequence in Snowflake
  • Snowflake Stream & Tasks
  • SnowSQL Operators, SnowSQL Concepts
  • Data Loads & Validations
  • Staging Operations with Snowflake
  • Unloading Data from Snowflake
  • Virtual Warehouse in Snowflake
  • Replication and Business Continuity
  • Security Management with Snowflake
  • Snowflake with Azure Data Factory
  • Managing Governance in Snowflake
  • End to End Real-time Project @ Resume
 

Register Now for Snowflake Video Training

 

Snowflake Training Course Contents:

 

Ch 1: DATABASE INTRODUCTION

  • Databases Introduction & Purpose
  • Database Types : OLTP, DWH, OLAP
  • Microsoft SQL Server Advantages, Use
  • SQL Server Components and Usage
  • Microsoft SQL Server - Career Options
  • Developer, DBA, Data Engineer
  • Data Analyst, Data Scientist Careers
  • SQL : Purpose, Real-time Usage Options
  • SQL Versus Microsoft T-SQL [MSSQL]
  • Course Plan, Real-time Project, Resume
  • 24 x 7 Online Lab for Remote DB Access
  • Versions and Editions of SQL Server
  • SQL Server Pre-requisites : S/W, H/W
  • System Configuration Checker Tool

Ch 5: SQL Basics - 3, TSQL INTRO

  • Database Objects : Tables and Schemas
  • Schemas : Group Tables in Database
  • Schemas : Security Management Object
  • Creating Schemas & Batch Concept
  • Using Schemas for Table Creation
  • Data Storage in Tables with Schemas
  • Data Retrieval & Usage with Schemas
  • Table Migrations across Schemas
  • Import and Export Wizard in SSMS
  • Data Imports with Excel File Data
  • Performing Bulk Operations in SSMS
  • Temporary Tables : Real-time Use
  • Local and Global Temporary Tables
  • # and ## Prefix, Scope of Usage

Ch 9: Functions, Procedures Basics

  • Functions with SQL Server, TSQL
  • Scalar, Inline, Table Functions
  • Variables: Declare, Real-time Use
  • Creating, Executing Functions
  • Functions for Computations
  • Functions for Parameterized Joins
  • Procedures: Usage in Real-time
  • Using Parameters in SQL Server
  • Parameterized Joins in TSQL
  • Compilation with Stored Procedures
  • sp_help, sp_helptext, sp_helpindex
  • sp_helpdb, sp_rename, sp_recompile
  • System Views For Metadata Audits
  • DBID, DBName, ObjectID, ObjectName

Ch 2: SQL SERVER INSTALLATION

  • SQL Server & SSMS Installation Plan
  • SQL Server Pre-requisites : S/W, H/W
  • SQL Server 2022 & 2019 Installation
  • Database Engine Feature, OLTP
  • Instances : Types and Properties
  • Default Instance, Named Instances
  • Service and Service Account Use
  • Authentication Modes and Logins
  • Windows Logins and SQL Logins
  • SQL Server Management Studio
  • Server Connections with SSMS Tool
  • Local and Remote Connections
  • System Databases: Master and Model
  • MSDB, TempDB, Resource Databases

Ch 6: Constraints, Index Basics

  • Constraints and Keys - Data Integrity
  • NULL, NOT NULL Property on Tables
  • UNIQUE KEY Constraints: Importance
  • PRIMARY KEY Constraint: Importance
  • FOREIGN KEY Constraint: Importance
  • REFERENCES, CHECK & DEFAULT
  • Candidate Keys and Identity Property
  • Database Diagrams and ER Models
  • Relationships Verification and Links
  • Indexes : Basic Types and Creation
  • Index Sorting and Search Advantages
  • Clustered and NonClustered Indexes
  • Primary Key and Unique Key Indexes
  • Need for Indexes - working with Keys

Ch 10: TRIGGERS & TRANSACTIONS

  • Triggers - Purpose, Real-world Usage
  • FOR/AFTER Triggers - Real time Use
  • INSTEAD OF Triggers - Real time Use
  • INSERTED, DELETED Memory Tables
  • Using Triggers for Data Replication
  • Enable Triggers and Disable Triggers
  • Database Level, Server Level Triggers
  • Transactions : Types, ACID Properties
  • Transaction Types and AutoCommit
  • EXPLICIT & IMPLICIT Transactions
  • COMMIT and ROLLBACK Statements
  • Batch Concept and Go Statement
  • Open Transactions in Real-time
  • Using Conditional Commits, Rollbacks

Ch 3: SSMS Tool, SQL BASICS - 1

  • Creating Databases: Files [MDF, LDF]
  • Creating Tables in User Interface
  • Data Insertion & Report in User Interface
  • SQL : Purpose and Real-time Usage
  • SQL Versus T-SQL : Basic Differences
  • DDL, DML, SELECT, DCL and TCL
  • Creating SSMS Sessions : SPID
  • Create, Connect Databases using SQL
  • Creating Tables with INT, CHAR
  • Data Storage, Inserts - Basic Level
  • Table Data Verifications with Select
  • SELECT Statement for Table Retrieval
  • Identify Databases and Tables
  • Identify Sessions and Session ID

Ch 7: Joins Basics, TSQL Queries

  • JOINS - Table Comparisons Queries
  • INNER JOINS For Matching Data
  • OUTER JOINS For (non) Match Data
  • Join Queries with "ON" Conditions
  • Left Outer Joins - Example Queries
  • Right Outer Joins - Example Queries
  • FULL Outer Joins: Realtime Scenarios
  • CROSS JOIN and CROSS APPLY
  • One-way, Two way Data Comparisons
  • Using Table Aliases & Column Aliases
  • Optimizing Join Queries with Indexes
  • Choosing Correct Comparison Columns
  • Joining Unrelated Tables in TSQL
  • Self References, Self Joins in TSQL

Ch 11:  Normal Forms, Cursors

  • First Normal Form and Atomicity
  • Third Normal Form and MVD Property
  • Boycee-Codd Normal Form : BNCF
  • Fourth Normal Form : Advantages
  • Self Reference Keys and 4 NF Usage
  • 1:1, 1:M, M:1, M:M Relationship Types
  • Linked Servers Configurations, RPC
  • Linked Servers, Remote Joins in TSQL
  • 2 Part, 3 Part, 4 Part Naming Styles
  • Remote Joins Queries and Aliases
  • Cursors - Basics, Data Operations
  • Cursors - Life Cycle & Declaration
  • Cursors Types, FETCH Operations
  • Cursors - Deallocate, Real-world Use

Ch 4: SQL BASICS - 2

  • Creating Tables: VARCHAR, FLOAT
  • Single Row Inserts, Multi Row Inserts
  • Rules for Data Insertion Statements
  • SELECT with WHERE Conditions
  • AND and OR Operators Usage
  • IN Operator and NOT IN Operator
  • Between, Not Between Operators
  • LIKE and NOT LIKE Operators
  • ORDER BY, TOP & OFFSET
  • Basic Sub Queries with SELECT
  • UPDATE Statement & Conditions
  • DELETE & TRUNCATE Statements
  • ALTER, ADD COLUMN Statements
  • DROP Statements: Table, Database

Ch 8: Group By in TSQL, Views Basics

  • GROUP BY: Importance, Realtime Use
  • GROUP BY Queries and Aggregations
  • Group By Queries with Having Clause
  • Group By Queries with Where Clause
  • Using WHERE and HAVING in T-SQL
  • Group By with Joins in TSQL
  • Query Execution Order & Aliases
  • Joins with Sub Queries, Formatting
  • Database Objects: Overview & Usage
  • Views: Types, Usage in Real-time
  • Creating, Executing & Verifying Views
  • Storing Queries in Database Views
  • Excel Analytics - Joins & Views
  • Excel Office Data Connection Reports

Ch 12: TSQL Queries, SQL Analytics

  • IIF() Function with SELECT Query
  • WHEN..THEN..ELSE
  • WHEN MATCHED, NOT MATCHED
  • Incremental Loads, Upsert Statement
  • Stored Procedures: Merge Statement
  • UNION and UNION ALL Operator
  • Window Functions: Rank, Dense Rank
  • Row_Number, PartitionBy in TSQL
  • Duplicate Row Identification, Deletion
  • Grouping, Cube, Rollup, Lag, Lead
  • Data Types: Numerical, Date, Time
  • Data Types: Characters, Real, Float
  • Date & Time Functions, DateAdd
  • String Functions, Concat, SubString
Case Study 1: Database Design with Tables,
Constraints, Keys & Relations
Case Study 2: Joins with Group By,
Sub Queries, Views, Excel Analytics

Mod 1: Snowflake Architecture, Basics

Mod 2: Snowflake Concepts, Admin

Mod 3: ETL, Stages & Pipes

Ch 1: Introduction to Cloud & Snowflake

  • Database Introduction & Database Types
  • OLTP, OLAP and Warehouse Databases
  • Need for Datawarehouses; Advantages
  • Popular Database Technologies
  • Popular Datawarehouse Technologies
  • Need for Cloud & Remote DWH Store
  • Cloud Implementation Types & Usage
  • IaaS: Infrastructure As A Service
  • PaaS: Platform As A Service
  • SaaS: Software As A Service
  • Snowflake Cloud: Introduction
  • Snowflake: Popular SaaS Platform
  • Cloud Datawarehouse Concepts
  • Advantages, Dependencies in Snowflake

Ch 7: Constraints and Data Types

  • Snowflake Constraints, Data Validations
  • NULL and NOT NULL Properties
  • Unique, Primary and Foreign Keys
  • Working with Named Constraints
  • Single Column, Multi Column Constraints
  • Inline and Out Of Line Constraints
  • Table Constraints Types, Real-time Use
  • Constraint Properties: ENFORCED
  • DEFERRED, IMMEDIATE Options
  • Numeric, String and Binary Data Types
  • Boolean Data Types and Usage
  • Date and Time Data Types
  • Semi Structured Data Types
  • Geospatial & Variant Data Types

Ch 13: Snowflake Tasks, Partitions

  • Snowflake Tasks and Real-time Use
  • Snowflake Serverless Compute Model
  • User Managed & Snowflake Managed
  • Tasks Tree: Root and Link Concepts
  • Directed Acyclic Graph (DAG)
  • Tasks Schedules and RESUME Options
  • CREATE, ALTER, DESCRIBE, SHOW
  • CREATE TASK … AFTER Statement
  • ALTER TASK … ADD AFTER Statement
  • CRON Syntax with Tasks, Procedures
  • Virtual Warehouse Concepts (DWH)
  • Multi Cluster Warehouse Config
  • Client Utilities, Drivers & Connectors
  • Auto Scale Options, Billing (Pricing)

Ch 2: Snowflake Account & Editions

  • Creating Snowflake Account (Cloud)
  • Snowflake Trail Account: Limitations, Uses
  • Snowflake Account Components
  • Cloud Platform: Azure, AWS, Google Cloud
  • Regions and Availability with Snowflake
  • Snowflake Editions, Credits; UI Usage
  • Default Accounts; Web UI & Snow Sight
  • Snowflake Storage: Ondemand, Capacity
  • Snowflake Editions and Comparisons
  • Standard Edition: Features, Advantages
  • Enterprise Edition: Features, Advantages
  • Business Critical Edition: Features, Usage
  • Virtual Private Edition (VPS) & Pricing
  • Snowflake Pricing: Ondemand Vs Capacity

Ch 8: Snowflake Cloning (Zero Copy)

  • Cloning Operations with Snowflake
  • Zero Copy and Schema Level Cloning
  • Real-time Uses: Cloning in Snowflake
  • Snapshot Concept, Metadata Options
  • Possible Objects for Snowflake Clone
  • Permissions for Snowflake Cloning
  • Accessing, Controlling Cloned Objects
  • Real-time Considerations @ Cloning
  • Storage Layer and Metadata Layer
  • Cloning with Foreign Key Constraints
  • Cloning Snowflake Databases
  • Cloning Snowflake Schemas, Tables
  • Security and MANAGE GRANTS
  • Cloning and COPY GRANTS Options

Ch 14: SnowSQL and Variables

  • SnowSQL: Concepts, Client Installation
  • SnowSQL Tool: Configuration Options
  • SnowSQL: Account Authorization
  • DDL, DML and SELECT Operations
  • Snowflake SQL Query Syntax Format
  • SnowSQL Command Line Options
  • Working with DB, Schema and Tables
  • Snowflake Variables, Batch Processing
  • Snowflake SQL Data Types, Usage
  • DECLARE, LET, BEGIN and END
  • EXECUTE IMMEDIATE, FOR, END FOR
  • Creating Warehouse, Database, Tables
  • Granting Permissions, Query Execution
  • Writing Output to Files (Win, MAC OS)

Ch 3: Architecture, Warehouse (DWH)

  • Snowflake Architecture & Compute
  • Shared Disk, Shared Nothing Architecture
  • Cluster Nodes and Snowflake Clusters
  • CPU & Memory Resources in Clusters
  • Disk Storage and Network Communication
  • Storage Layer and Cloud Service Layer
  • Database Query Layer & Data Cycle
  • Snowflake Datawarehouse Architecture
  • MPP: Massively Parallel Processing
  • Compute and Storage Components
  • Column Store and Virtual Warehouse
  • Datawarehouse Creation in SnowSight
  • Classic UI with Snowflake; Navigations
  • Data Load and Billing; Auto Suspend

Ch 9: Snowflake Procedures & Views

  • Snowflake Procedures and Functions
  • Creating and Using Stored Procedures
  • Using CALL Command in Snowflake
  • SQL and JavaScript Options with SPs
  • Snowflake Deferred Name Resolution
  • Overloading with Snowflake SPs
  • Transactions & Injection
  • Variables & CALL Command
  • Using execute() with Procedures
  • sqlText:command, createStatement
  • Cursoring Operations
  • Dynamic DML Operations with SPs
  • Loops & next.scan()
  • RETURN and RETURNS Statements
  • Views & Query Storage
  • DML and SELECT Operations on Views
  • Regular Views, System Predefined Views
  • Recursive Views, Parameterized Views

Ch 15: Snowflake Partitions, Stages

  • Snowflake Partitions, Real-time use
  • Service and Storage Layer Concepts
  • Micro Partition with DML, CDC
  • Cluster Key: Usage, ReClusters
  • Depth and Overlap Properties
  • Internal Partition Types & Usage
  • List, Range and Hash Partitions
  • SYSTEM$CLUSTERING_INFORMATION
  • Snowflake Stages and Usage
  • Internal and External Stages
  • User Stages : Creation, Usage
  • Table Stages: Creation, Usage
  • Internal Named Stages, Usage
  • COPY Command, Bulk Data Loads

Ch 4: Snowflake Databases & Tables

  • Snowflake Databases and Data Storage
  • Need for Snowflake Warehouse, Compute
  • Database Objects and Hierarchy
  • Snowflake Worksheet Parameters
  • Database Creation with Snowflake UI
  • Retention Time, DB List & Connections
  • Permanent and Transient Databases
  • Snowflake Tables and their Usage
  • Permanent, Transient & Temp Tables
  • Creating Tables with SnowSight
  • Describe Options, Data Inserts
  • CREATE TABLE AS SELECT
  • Cloning Tables, Case Sensitivity Options
  • Collation, ALTER, DROP & UNDROP

Ch 10: Security Management

  • Security Management Concepts
  • Security Entities with Snowflake
  • Securable Objects, Users & Roles
  • Prevligies and Privilege Groups
  • Snowflake Security Hierarchy
  • Organization, Account, Users, Roles
  • Schema, Tables, Other DB Objects
  • Creating and Using Roles, Users
  • System Defined Roles and Usage
  • Role Hierarchy and Dependency
  • Creating and Working with Users
  • Auditing Users and Password Policy
  • RBAC: Role Based Access Control
  • DAC: Discretionary Access Control

Ch 16: Azure & External Storage

  • Working with Azure Storage
  • Azure Subscription, Resources
  • Create, Use Azure Storage Account
  • Storage Containers, BLOB Data
  • Using SnowSQL with Azure BLOB
  • SAS [Shared Access Signature]
  • Using SAS Key and FILE PATH
  • External Stages in Snowflake
  • File Formats: Creation, Usage
  • Creating & Using External Stages
  • Azure Storage with BLOB
  • COPY INTO Command Usage
  • Listing Stages with Snowflake
  • Snowflake Patterns & RegEx

Ch 5: Time Travel & Transient Tables

  • Time Travel Feature in Snowflake
  • DML Operations and Silent Audits
  • Continuous Data Protection Life Cycle
  • Invoking Time Travel Feature in Snowflake
  • Timestamp, Offset & Query ID Options
  • Time Travel using Offset Feature
  • Time Travel using Query ID Feature
  • Data Recovery using TIMESTAMP
  • Using OFFSET options in Real-world
  • Fail Safe and UNDROP Operations
  • Transient Tables and Real-time Usage
  • Permanent Table and Real-time Usage
  • Restrictions with Permanent Tables
  • Identical Names and Naming Conflicts

Ch 11: Snowflake Transactions

  • Working with Transactions (ACID)
  • Atomicity, Consistency, Isolation
  • Durability and Data Storage Options
  • Transaction Types with Snowflake
  • Implicit, Explicit and Auto Commit
  • BEGIN TRANSACTION & COMMIT
  • DDL Statements and Transactions
  • BEGIN WORK Versus START
  • current_transaction() and Usage
  • to_timestamp_ltz and Usage
  • Failed Transactions with SPs
  • Batches Versus Transactions
  • Transactions with Stored Procedures
  • Scoped and INNER Transactions

Ch 17: SnowPipes & Incremental Loads

  • Snowflake SnowPipes: Incremental Loads & SnowPipe
  • Creating Azure Account For BLOB
  • Creating Container, Generate SAS Key
  • Creating Azure Queue and Event Grid
  • Notification Integration in Snowflake
  • Integrations: Show, Describe, Use
  • Azure Active Directory & IAM
  • Linking Azure AD with Snowflake
  • Enterprise Application, Authentication
  • File Formats with Regular Expr
  • External Data Stages
  • Data Unloading Concepts
  • PUT and GET with SnowSQL
  • Bulk Unloads; Data Preparation & Stages
  • Data Unloading to User Stages
  • Data Unloading to Table Stages

Ch 6: Schemas and Session Context

  • Schemas: Creation, Real-time Usage
  • Permanant and Transient Schemas
  • Managed Schemas in Real-time Usage
  • Verifying and Cloning Snowflake Schemas
  • Invoking Schemas & Cloning Operations
  • ALTER SCHEMA.. IF EXISTS Options
  • Creating, Working with Managed Schema
  • Snowflake Sessions (Workspaces)
  • Session Context: Role and Warehouse
  • Session Context: Database & Schema
  • Working with Fully Qualified Names
  • CTAS: Create Table As Select
  • Data Loading with GUI, SQL Scripts
  • Using Query and History Tab in GUI

Ch 12: Snowflake Streams & Audits

  • Working with Snowflake Streams
  • Stream Object and DML Auditing
  • Snapshot Creation, Offset Options
  • METADATA$ACTION Parameter
  • METADATA$ISUPDATE Parameter
  • METADATA$ROW_ID Parameter
  • Stream Types: Standard Stream
  • Append Only Stream & Usage
  • Insert Only Stream & Usage
  • Data Flow with Snowflake Streams
  • Auditing INSERT, UPDATE, DELETE
  • show streams; desc streams
  • Streams on Transient Tables
  • Time Travel; Using Stream Tables

Ch 18 : REAL-TIME PROJECT

  • Phase 1:
  • Legacy Data Systems
  • Heterogenous Data Platforms
  • File Data Sources
  • Phase 2
  • Desining DWH in Snowflake
  • Incremental Loads
  • Capacity Planning
  • External Data, Integrations
  • SnowPipes and Azure BLOB
  • Phase 3
  • Data Visualizations, Analytics
  • End to End Implementations
  • Project Solution & FAQs
  • Resume & Certification Guidance
Part 1: Power BI Report Design
Part 2: Power Query, Cloud (Service)
Part 3: DAX & Report Server

Ch 1: POWER BI INTRODUCTION

  • Power BI : Introduction to Analytics
  • Power BI Tools Suite, Advantages
  • Power BI : Career Options, Plan
  • Power BI Developer Job Role
  • Microsoft Data Analyst Job Role
  • Big Data Analyst Job Role
  • Power BI Data Analyst (PL 300)
  • Data Engineer*, Power BI (DP 500 *)
  • Artificial Intelligence (AI) Visuals
  • AI Enabled Power BI Features
  • Course - Lab Plan with Design Tools
  • Need for Power Query & DAX
  • Power BI Licensing Types
  • Power BI Cloud - Advantages
  • Power BI Report Server Advantages

Ch 7: POWER QUERY LEVEL 1

  • Power Query M Language Purpose
  • Power Query Architecture and ETL
  • Data Types, Literals and Values
  • Power Query Transformation Types
  • Table & Column Transformations
  • Text & Number Transformations
  • Date, Time and Structured Data
  • let, source, in statements @ M Lang
  • Get Data, Table Creations and Edit
  • ETL Operations with Power Query
  • Merge Transformations in Power BI
  • Join Kinds: Inner, Outer & Apply
  • Union All Transformation & Appends
  • Power Query Editor, Step Edits
  • Close & Apply Options. Report Design

Ch 13: DAX Functions - Level 1

  • DAX : Importance in Real-time
  • DAX Data Types, Syntax Rules
  • DAX Measures and Columns
  • ROW Context and Filter Context
  • Operators, Special Characters
  • DAX Functions, Vertipaq Engine
  • DAX Cheat Sheet : Expressions
  • Data Analytics with DAX
  • DAX Measures : Expressions
  • ISBLANK, IF, IN, SUM
  • SUMX, AVG, AVERAGEX
  • Data Models: Fact, Dimensions
  • Detecting Relations for DAX
  • Star & Snowflake Schemas
  • Data Modeling Options in DAX

Ch 2: Basic Report Design

  • Power BI Eco System: Architecture
  • Data Sources & Types in Real-world
  • Report Types: Interactive, Paginated
  • Analytical Reports & Mobile Reports
  • Data Sources : File, Database, Web
  • Visualizations : Report Shapes
  • Power BI Design Tools, Requirements
  • Power BI Desktop Tool : Installation
  • Desktop Interface: Overview, Canvas
  • Get Data, Data View, Report View
  • In-Memory Xvelocity Database
  • Basic Visuals: Table, Tree Map
  • Data Labels, Legend, Category
  • Local Store: PBIX & PBIT Files
  • Data Points and Tooltips

Ch 8: POWER QUERY LEVEL 2

  • Query Duplicate, Query Reference
  • Group By and Advanced Options
  • Aggregations with Power Query
  • Transpose, Header Promotion
  • Reverse Rows and Row Count
  • Data Type Changes & Detection
  • Replace Columns: Text, NonText
  • Advanced Query Edit Options
  • Replace Nulls: Fill Up, Fill Down
  • Pivot, Unpivot Transformations
  • Move Column and Split Column
  • Date & Time Transformations
  • Derive Year, Quarter, Month, Day
  • Add Column : Query Expressions
  • Query Step Inserts and Step Edits

Ch 14: DAX Functions - Level 2

  • Quick Measures in Power BI
  • Average and Filtered Average
  • Running Totals, EARLIER( )
  • RELATED, COUNTROWS
  • CALCULATE Function Conditions
  • ALL Members Scope & IN
  • Account and Time Calculations
  • Star Rating, DAX Expressions
  • Data Modeling Options in DAX
  • 1:1, 1:M and M:1 Relations
  • Working with Facts & Measures
  • Modeling : Missing Relations
  • Relationships & Importance
  • Modeling : Relation Management
  • Modeling with Multiple Keys

Ch 3: Visual Interaction, Visual Sync

  • Visual Interaction with Data Points
  • Disabling / Enabling Interactions
  • Edit Interactions: Format Options
  • Spotlight and Focus Mode
  • Report Export to CSV, PDF
  • Tooltip Options and Usage
  • Working with Pages in PBI
  • Rename, Duplicate, Hide Pages
  • Slicer Visual : Real-time Usage
  • Orientation, Selection Properties
  • Slicer Settings : Tiles & Slider
  • Single & Multi Select, Header
  • Number, Text, Show Summary
  • Date Slicer and Value Selections
  • Slicer List, Dropdowns & Clear

Ch 9: POWER QUERY LEVEL 3

  • Big Data Loads : Parameter Queries
  • Creating Parameters in Power Query
  • Parameter Data Types, Default Lists
  • Static & Dynamic Lists: List Queries
  • Convert Tables to Lists, Use Cases
  • Linking Parameters to Queries
  • Testing Parameters with Canvas
  • Multi-Valued Parameter Lists
  • Creating Lists in Power Query
  • Converting Lists to Table Data
  • Invoke Function, Type Conversions
  • Function Query & Parameter List
  • Columns From Examples, Indexes
  • Conditional Columns, Expressions
  • Disable / Enable Data Loads

Ch 15: DAX Functions - Level 3

  • DAX : Variables and Expressions
  • Dynamic Expressions, RETURN
  • Current Value, Previous Value
  • SELECTED VALUE, Joins
  • FORMAT Function with DAX
  • RELATED, Joins in DAX
  • DAX Expressions with SQL DB
  • Time Intelligence Functions
  • Date Dimension : Generation
  • CALENDAR(), DATESYTD()
  • TOTALYTD, TOTALQTD
  • TODAY, DATE, DAY with DAX
  • SELECTEDVALUE, FORMAT
  • Date, Time and Text Functions

Ch 4: Grouping & Hierarchies

  • Grouping : Visuals with Pdf Sources
  • List Grouping and Binning Options
  • Grouping Static / Fixed Data Values
  • Grouping Dynamic / Changing Data
  • Bin Size and Bin Limits (Max, Min)
  • Bin Count and Grouping Options
  • Group with Bins & Clustering
  • Group, Layer with Selection Pane
  • Creating Hierarchies in Power BI
  • Independent, Dependant Drill-Down
  • Drill-Down with Interactive Reports
  • Conditional Drilldowns, Data Points
  • Drill Up Buttons and Operations
  • Expand & Show Next Level
  • Dynamic Data Drills Limitations

Ch 10: POWER BI CLOUD - 1

  • Power BI Cloud Components
  • App Workspaces, Report Publish
  • Reports & Related Datasets Cloud
  • Creating New Reports in Cloud
  • Report Publish, Report Uploads
  • Report Edits and New Reports
  • Report Actions: Downloads
  • Dataset Usage Options in Cloud
  • Dashboards Creation and Usage
  • Pining Visuals and Report Pages
  • Visual Pin Actions in Dashboards
  • Dashboard & LIVE Interactions
  • Media Tiles: Images, Custom Links
  • Q & A Option with Dashboards
  • Pin with Q & A; Standard Visuals

Ch 16: DAX Functions - Level 4

  • RLS: Row Level Security
  • Data Models in Power BI Desktop
  • DAX Roles Creation and Testing
  • DAX Expressions & Operators
  • PBIX Uploads: Power BI Cloud
  • Dataset Security with DAX Roles
  • Entity Sets and Slicing in DAX
  • Dataflows with Power BI
  • Analytical Reports - DAX Usage
  • Creating Data Models with DAX
  • Datasets in Excel and Dashboards
  • Using Excel Analyzer in Power BI
  • Power BI Data Source in Excel
  • Connection Strings and Refresh
  • Analytical Reports - Limitations

Ch 5: Filters & Bookmarks

  • Filters : Types and Usage in Real-time
  • Visual Filter, Page Filter, Report Filter
  • Basic, Advanced and TOP N Filters
  • Category and Summary Level Filters
  • Data / Drill Options, DrillThru Filters
  • Keep All Filters" Options in DrillThru
  • CrossReport Filters, Include, Exclude
  • Drill-thru Filters, Page Navigations
  • Bookmarks : Report Navigations
  • Buttons, Images with Actions
  • Selection Pane, Actions, Text URLs
  • Show Data and See Records
  • Custom Tooltips, Table Visual
  • Table Vs Matrix : Drill-downs
  • Styles, Cell Properties, Databars
  • Conditional Formatting, Divergent

Ch 11: POWER BI CLOUD - 2

  • Report Actions : Share, Subscribe
  • Report Actions : Lineage, Embed
  • Report Actions : Export Options
  • Report Actions : Public User Access
  • Dashboard Actions : Share, Subscribe
  • Dashboard Actions : Themes, Lineage
  • Dashboard Actions : Share, Subscribe
  • Favorite, Insights, Embed Code
  • Gateways Configuration, PBI Service
  • Gateway Types, Cloud Connections
  • Gateway Cluster, Add Data Sources
  • Data Refresh : Manual, Scheduled
  • Power Query Parameters, Gateways
  • DataFlows, Power Query in Cloud
  • Lineage, Share, Subscribe, Insights
  • Performance Inspector& Gateways

Ch 17: Power BI Report Server

  • Power BI Report Server Config
  • SQL Server Instance Verifications
  • Report Server DB, Temp Database
  • WebService & WebPortal URL
  • Uploading Interactive Reports
  • End User Report Share (pdf)
  • Power BI Desktop RS Tool
  • Interactive Reports: Report Server
  • Mobile Reports : Design Options
  • Mobile Reports : Grids, Elements
  • Mobile Reports : Uploads, Edits
  • Paginated Reports : Deployments
  • Paginated Vs Interactive Reports
  • Paginated Vs Analytical Reports
  • Paginated Vs Mobile Reports
  • Power BI Report Server Vs Cloud

Ch 6: Big Data Access, Visuals

  • OLTP Databases, Big Data Sources
  • Azure Database Access, Reports
  • Import, Direct Query & Dual Mode
  • Data Modeling: Do Not Summarize
  • Data Modeling: Currency, Relations
  • Power BI Archtiecture, Eco System
  • Power BI Interface for Reports
  • Stacked Chart, Clustered Chart
  • Line Chart, Area Chart, Bar Chart
  • 100% Stacked Bar & Column Chart
  • Map Visuals: Tree, Filled, Bubble
  • Small Multiples, Legends, Axis
  • Cards, Funnel, Table, Matrix
  • Scatter Chart : Play Axis, Labels
  • Waterfall Chart, Multi Row Cards

Ch 12: POWER BI CLOUD - 3

  • Workbooks : Excel Online & Pins
  • Power BI Apps: Creation & Usage
  • Power BI Segments, Content
  • Navigation Screens, Audience
  • App Publish, Verification & Edits
  • Export, Share & Subscribe
  • List View & Lineage View Options
  • Power BI Scorecards: Realtime Use
  • Paginated Reports - Design & Usage
  • Power BI Report Builder Tool
  • Microsoft Report Builder Tool
  • Report Builder : Datasets, Charts
  • Report Builder : Bar Charts, Fields
  • Report Builder : Creating RDL Files
  • Paginated Reports : Deployments

Ch 18: Power BI Admin & AI

  • Power BI Cloud Management
  • Power BI Admin : Alerts
  • Workspace Management, Users
  • Security: Report, Dataset Levels
  • Security: Dataset, App Levels
  • Security: Workspace Options
  • PBI Performance Inspector
  • Power BI & Artificial Intelligence
  • Power BI & CoPilot Add-Ins
  • AI Visuals & Big Data Analytics
  • Smart Narrative and Q & A
  • Infographics, Icons and Labels
  • Key Influencer Visual in Power BI
  • Metrics Visual, Performance
  • Paginated Reports Visual

Power BI : Realtime Project (Sales - Retail)

Phase 1 : Basic Report Design

  • Project Requirement Analysis
  • Requirement Gathering, FSA
  • Report Design with Excel
  • Basic Data Modelling
  • Infographics, Histograms
  • Analytics and Formating

Phase 2 : SME Level

  • Report Design with SQL DB
  • SQL Database : Joins, Views
  • Dual Storage Mode, SQL Queries
  • Data Modeling, Power Query
  • Dynamic Connections, Azure DB
  • Parameters and M Lang Scripts

Phase 3: Deployments (Cloud, Server)

  • DAX Requriements, Analysis
  • Cloud and Report Server
  • Custom Visualizations
  • 3party Visuals & REST API *
  • Project FAQs and Solutions
  • One - One Resume, Mock Interview
 
 

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